Python将MP4视频转换为GIF图像的三种方法

pip install moviepy

from moviepy.editor import VideoFileClip

# 输入MP4文件路径
input_video_path = 'input_video.mp4'

# 输出GIF文件路径
output_gif_path = 'output_video.gif'

# 加载视频文件
clip = VideoFileClip(input_video_path)

# 设置持续时间（以秒为单位），例如设置为5秒
duration = 5

# 裁剪视频以获取所需的持续时间
clip = clip.subclip(0, duration)

# 设置GIF的帧率（每秒显示的帧数），例如设置为10帧/秒
fps = 10

# 将视频转换为GIF
clip.write_gif(output_gif_path, fps=fps)

# 释放资源
clip.close()

print(f"GIF has been created at {output_gif_path}")

pip install imageio

import imageio

# 输入MP4文件路径
input_video_path = 'input_video.mp4'

# 输出GIF文件路径
output_gif_path = 'output_video.gif'

# 读取视频文件
reader = imageio.get_reader(input_video_path)

# 创建GIF写入器，设置帧速率和帧大小（可选）
writer = imageio.get_writer(output_gif_path, mode='I', fps=10)

# 循环处理视频中的每一帧，并将其写入GIF
for frame in reader:
    writer.append_data(frame)

# 关闭写入器，完成转换
writer.close()

print(f"GIF has been created at {output_gif_path}")

pip install opencv-python pillow

import cv2
import numpy as np
from PIL import Image, ImageSequence

# 输入MP4文件路径
input_video_path = 'input_video.mp4'

# 输出GIF文件路径
output_gif_path = 'output_video.gif'

# 打开视频文件
cap = cv2.VideoCapture(input_video_path)

# 获取视频的总帧数和帧率
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
fps = cap.get(cv2.CAP_PROP_FPS)

# 定义需要截取的时间区间（单位为秒），例如从0秒到5秒
start_time = 0
end_time = 5

# 计算对应的帧数区间
start_frame = int(start_time * fps)
end_frame = int(end_time * fps)

# 创建一个列表来存储帧
frames = []

# 从起始帧开始遍历帧数区间内的每一帧
cap.set(cv2.CAP_PROP_POS_FRAMES, start_frame)
for i in range(start_frame, end_frame):
    ret, frame = cap.read()
    if not ret:
        break
    # 将BGR格式的帧转换为RGB格式
    frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
    # 将帧添加到列表中
    frames.append(Image.fromarray(frame_rgb))

# 释放视频文件句柄
cap.release()
cv2.destroyAllWindows()

# 将帧列表保存为GIF文件
frames[0].save(output_gif_path, save_all=True, append_images=frames[1:], duration=int(1000/fps), loop=0)

print(f"GIF has been created at {output_gif_path}")